Evidence map›Paper›PMID 41568424›Full record

ArticleGlobal change biology2026

Recovering European River Invertebrate Communities Homogenize or Differentiate Depending on Anthropogenic Stress.

Daniela Cortés-Guzmán, Diana E Bowler, Marie Anne Eurie Forio, Peter Goethals, Ioannis Karaouzas, Ariane Moulinec, James S Sinclair, Rudy Vannevel, Peter Haase, Ellen A R Welti

Abstract read
In one paragraph

Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Daniela Cortés-GuzmánSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.ORCID 0000-0001-6683-0224
Diana E BowlerBiodiversity Monitoring and Analysis, UK Centre for Ecology and Hydrology, Wallingford, UK.ORCID 0000-0002-7775-1668
Marie Anne Eurie ForioDepartment of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium.
Peter GoethalsDepartment of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium.
Ioannis KaraouzasInstitute of Marine Biological Resources and Inland Waters, Hellenic Centre for Marine Research, Anavyssos, Greece.
Ariane MoulinecSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.
James S SinclairSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.
Rudy VannevelDepartment of Animal Sciences and Aquatic Ecology, Ghent University, Ghent, Belgium.
Peter HaaseSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.ORCID 0000-0002-9340-0438
Ellen A R WeltiGreat Plains Science Program, Smithsonian's National Zoo and Conservation Biology Institute, Bozeman, Montana, USA.

Funding

Deutsche Forschungsgemeinschaft 426547801EU Horizon 2020 project eLTER PLUS 871128FAZIT StiftungFrontiers Research FoundationUmweltbundesamt 3721242030
6 · The paper itself

Abstract

Biodiversity loss can lead to biotic homogenization, whereby local communities within a region become increasingly similar over time, resulting in simplified communities with reduced functionality. However, our understanding of whether alleviating anthropogenic stress can reverse homogenization and promote biotic differentiation (i.e., increasing dissimilarity) remains limited, partly because the effectiveness of conservation actions is often assessed only at the local scale (e.g., increases in local diversity). Here, we examined evidence for biotic differentiation in European river invertebrate communities, a system that has generally shown signs of local recovery. We analyzed 447 time series of river invertebrate communities from 1994 to 2023, spanning 48 river basins across 15 European countries. We then related trends in community similarity within each basin, measured as taxonomic and trait β-diversity, to spatial gradients of anthropogenic stress, including ecological quality (a proxy of general anthropogenic stress), air temperature increase, and land cover pressure. β-diversity trends were strongly mediated by anthropogenic stress levels, with communities in lower-stress basins showing differentiation, while those in higher-stress basins homogenized. In addition, we found that the direction of β-diversity change depended less on taxa or traits being gained or lost, and more on the identity of the traits involved, highlighting how trait composition mediates community responses to anthropogenic change. Specifically, additions promoted differentiation at lower stress levels but contributed to homogenization under conditions of higher stress, whereas subtractions exhibited the inverse pattern. Our results demonstrate that β-diversity responds asymmetrically to spatial variation in anthropogenic stress, with both homogenization and differentiation occurring within a system that is, overall, undergoing recovery. Recognizing the stress-dependent responses of β-diversity allows researchers and managers to more accurately assess conservation success and provide recommendations that promote long-term ecosystem structural and functional recovery.

Indexed as

Anthropogenic EffectsBiodiversityConservation of Natural ResourcesInvertebratesRiversAnimalsEuropeStress, Physiologicalbiological traitscommunity recoveryconservation effectivenessecological traitsEuropean riversspatial gradientsβ‐Diversity

Identifiers

PMID41568424
PMCPMC12824827

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.